Triple

T11929967
Position Surface form Disambiguated ID Type / Status
Subject Henschel Hs 293 E283883 entity
Predicate usedByUnit P22634 FINISHED
Object KG 100
KG 100 was a specialized Luftwaffe bomber unit of World War II noted for pioneering the operational use of guided anti-ship missiles such as the Henschel Hs 293.
 E955583 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: KG 100 | Statement: [Henschel Hs 293, usedByUnit, KG 100]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KG 100
Context triple: [Henschel Hs 293, usedByUnit, KG 100]
  • A. KG 200
    KG 200 is a historical non-fiction book by John Clive that examines the secret operations of a special Luftwaffe unit during World War II.
  • B. K-10
    K-10 is a state highway in Kansas that serves as a major east–west commuter and connector route in the Kansas City metropolitan area.
  • C. KG 53
    KG 53 was a Luftwaffe bomber wing of Nazi Germany during World War II, known for its operations on both the Eastern and Western Fronts.
  • D. KGM
    KGM is the Turkish General Directorate of Highways, the national authority responsible for planning, constructing, and maintaining Turkey’s road network.
  • E. KRX 100
    KRX 100 is a major South Korean stock market index that tracks the performance of 100 representative companies listed on the Korea Exchange.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KG 100
Triple: [Henschel Hs 293, usedByUnit, KG 100]
Generated description
KG 100 was a specialized Luftwaffe bomber unit of World War II noted for pioneering the operational use of guided anti-ship missiles such as the Henschel Hs 293.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KG 100
Target entity description: KG 100 was a specialized Luftwaffe bomber unit of World War II noted for pioneering the operational use of guided anti-ship missiles such as the Henschel Hs 293.
  • A. KG 200
    KG 200 is a historical non-fiction book by John Clive that examines the secret operations of a special Luftwaffe unit during World War II.
  • B. K-10
    K-10 is a state highway in Kansas that serves as a major east–west commuter and connector route in the Kansas City metropolitan area.
  • C. KG 53
    KG 53 was a Luftwaffe bomber wing of Nazi Germany during World War II, known for its operations on both the Eastern and Western Fronts.
  • D. KGM
    KGM is the Turkish General Directorate of Highways, the national authority responsible for planning, constructing, and maintaining Turkey’s road network.
  • E. KRX 100
    KRX 100 is a major South Korean stock market index that tracks the performance of 100 representative companies listed on the Korea Exchange.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90303a9a88190a4044e6310ba9b4b completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4406ee910819093c72738bfe3f92c completed May 1, 2026, 5:55 a.m.
NEDg Description generation batch_69f448fb898081908a8ffd0da703c0f9 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44b9e662881908549e041f6a05e38 completed May 1, 2026, 6:43 a.m.
Created at: April 8, 2026, 9:45 p.m.